∗ 2014 – Eindhoven Train Station

Location Main walkway, Eindhoven Train Station (2014-2015 config)
Aim Study diluted and dense pedestrian dynamics
Recorded Area 2.3m (L) x 9 m (W) / 4 Kinect sensors
Processing Offline, 24/7 recording, 100GB/day
Data 100.000 trajectories per day/5M trajectories in total

To investigate diluted and denser crowding conditions with higher statistics we expanded our tracking system to cover the whole width of the main corridor of Eindhoven Train Station. We employed a grid of four sensors. 



Acquisition system with four Kinect sensors
The four signals are merged after the perspective view is undistorted


Below some example of the trajectories obtained (Click here for videos ) 


The following publications include technological details, density and direction ratio conditioned fundamental diagrams and data analytics approaches.


Alessandro Corbetta; Federico Toschi

Overhead pedestrian tracking for large scale real-life crowd dynamics analyses Incollection Forthcoming

Enrico Ronchi (Ed.): invited panelist contribution at "New approaches to evacuation modelling" (as part of the 12th International Symposium on Fire Safety Science), Forthcoming.

Abstract | BibTeX


Jasper Meeusen

Dense Crowd Dynamics Masters Thesis

Eindhoven University of Technology, 2016.

Abstract | BibTeX

Alessandro Corbetta; Chung-min Lee; Jasper Meeusen; Federico Toschi

Continuous measurements of real-life bidirectional pedestrian flows on a wide walkway Inproceedings

Proceedings of Pedestrian and Evacuation Dynamics 2016, pp. 18-24, 2016.

Abstract | Links | BibTeX

Alessandro Corbetta

Multiscale crowd dynamics: physical analysis, modeling and applications PhD Thesis

Eindhoven University of Technology, 2016.

Abstract | Links | BibTeX